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Combining bilingual terminology mining and morphological modeling for domain adaptation in SMT.

, , и . EAMT, стр. 11-18. European Association for Machine Translation, (2014)

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Otto Fraser

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Julius Fraser

 

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Addressing Zero-Resource Domains Using Document-Level Context in Neural Machine Translation., и . CoRR, (2020)LMU Bilingual Dictionary Induction System with Word Surface Similarity Scores for BUCC 2020., , , и . BUCC@LREC, стр. 49-55. European Language Resources Association, (2020)LMU Munich's Neural Machine Translation Systems at WMT 2018., , , и . WMT (shared task), стр. 648-654. Association for Computational Linguistics, (2018)Combining Local and Document-Level Context: The LMU Munich Neural Machine Translation System at WMT19., и . WMT (2), стр. 400-406. Association for Computational Linguistics, (2019)The LMU Munich Unsupervised Machine Translation System for WMT19., , , и . WMT (2), стр. 393-399. Association for Computational Linguistics, (2019)Producing Unseen Morphological Variants in Statistical Machine Translation., , , и . EACL (2), стр. 369-375. Association for Computational Linguistics, (2017)Rich Bitext Projection Features for Parse Reranking., , и . EACL, стр. 282-290. The Association for Computer Linguistics, (2009)HimL: Health in my language., и . EAMT (Projects/Products), Baltic Journal of Modern Computing, (2016)Bitext-Based Resolution of German Subject-Object Ambiguities., , и . HLT-NAACL, стр. 737-740. The Association for Computational Linguistics, (2010)Getting the Structure Right for Word Alignment: LEAF., и . EMNLP-CoNLL, стр. 51-60. ACL, (2007)